Search Results for author: Xianjie Guo

Found 2 papers, 2 papers with code

Towards Privacy-Aware Causal Structure Learning in Federated Setting

1 code implementation13 Nov 2022 Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang

In this paper, we study a privacy-aware causal structure learning problem in the federated setting and propose a novel Federated PC (FedPC) algorithm with two new strategies for preserving data privacy without centralizing data.

Federated Learning Privacy Preserving

Causality-based Feature Selection: Methods and Evaluations

1 code implementation17 Nov 2019 Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu

It has been shown that the knowledge about the causal relationships between features and the class variable has potential benefits for building interpretable and robust prediction models, since causal relationships imply the underlying mechanism of a system.

feature selection

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